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   "source": [
    "[![AWS SDK for pandas](_static/logo.png \"AWS SDK for pandas\")](https://github.com/aws/aws-sdk-pandas)\n",
    "\n",
    "# 1 - Introduction"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What is AWS SDK for pandas?\n",
    "\n",
    "An [open-source](https://github.com/aws/aws-sdk-pandas) Python package that extends the power of [Pandas](https://github.com/pandas-dev/pandas) library to AWS connecting **DataFrames** and AWS data related services (**Amazon Redshift**, **AWS Glue**, **Amazon Athena**, **Amazon Timestream**, **Amazon EMR**, etc).\n",
    "\n",
    "Built on top of other open-source projects like [Pandas](https://github.com/pandas-dev/pandas), [Apache Arrow](https://github.com/apache/arrow) and [Boto3](https://github.com/boto/boto3), it offers abstracted functions to execute usual ETL tasks like load/unload data from **Data Lakes**, **Data Warehouses** and **Databases**.\n",
    "\n",
    "Check our [list of functionalities](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/api.html)."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to install?\n",
    "\n",
    "awswrangler runs almost anywhere over Python 3.8, 3.9 and 3.10, so there are several different ways to install it in the desired environment.\n",
    "\n",
    "  - [PyPi (pip)](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#pypi-pip)\n",
    "  - [Conda](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#conda)\n",
    "  - [AWS Lambda Layer](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#aws-lambda-layer)\n",
    "  - [AWS Glue Python Shell Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#aws-glue-python-shell-jobs)\n",
    "  - [AWS Glue PySpark Jobs](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#aws-glue-pyspark-jobs)\n",
    "  - [Amazon SageMaker Notebook](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#amazon-sagemaker-notebook)\n",
    "  - [Amazon SageMaker Notebook Lifecycle](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#amazon-sagemaker-notebook-lifecycle)\n",
    "  - [EMR Cluster](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#emr-cluster)\n",
    "  - [From source](https://aws-sdk-pandas.readthedocs.io/en/3.14.0/install.html#from-source)\n",
    "\n",
    "Some good practices for most of the above methods are:\n",
    "  - Use new and individual Virtual Environments for each project ([venv](https://docs.python.org/3/library/venv.html))\n",
    "  - On Notebooks, always restart your kernel after installations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's Install it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install awswrangler"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Restart your kernel after the installation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import awswrangler as wr\n",
    "\n",
    "wr.__version__"
   ]
  }
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